دانلود کتاب Handbook of approximate Bayesian computation

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Cover......Page 1
Half Title......Page 2
Title Page......Page 4
Copyright Page......Page 5
Table of contents......Page 6
Preface......Page 10
Editors......Page 12
Contributors......Page 14
I: Methods......Page 18
1: Overview of ABC......Page 20
2: On the History of ABC......Page 72
3: Regression Approaches for ABC......Page 88
4: ABC Samplers......Page 104
5: Summary Statistics......Page 142
6: Likelihood-Free Model Choice......Page 170
7: ABC and Indirect Inference......Page 196
8: High-Dimensional ABC......Page 228
9: Theoretical and Methodological Aspects of Markov Chain Monte Carlo Computations with Noisy Likelihoods......Page 260
10: Asymptotics of ABC......Page 286
11: Informed Choices: How to Calibrate ABC with Hypothesis Testing......Page 306
12: Approximating the Likelihood in ABC......Page 338
13: A Guide to General-Purpose ABC Software......Page 386
14: Divide and Conquer in ABC: Expectation-Propagation Algorithms for Likelihood-Free Inference......Page 432
II: Applications......Page 452
15: Sequential Monte Carlo-ABC Methods for Estimation of Stochastic Simulation Models of the Limit Order Book......Page 454
16: Inferences on the Acquisition of Multi-Drug Resistance in Mycobacterium Tuberculosis Using Molecular Epidemiological Data......Page 498
17: ABC in Systems Biology......Page 530
18: Application of ABC to Infer the Genetic History of Pygmy Hunter-Gatherer Populations from Western Central Africa......Page 558
19: ABC for Climate: Dealing with Expensive Simulators......Page 586
20: ABC in Ecological Modelling......Page 614
21: ABC in Nuclear Imaging......Page 640
Index......Page 666